Posts By:
Amanda Sivaraj

In our previous tutorial on customer support bots, we trained a bot using the Custom Collection API to direct customers to the team member who is best suited to assist them with their problem or query. The bot improved our team’s response times as we no longer had to rely on a human facilitator (who… Read more

In a startup, we wear many hats. Operations does a little bit of sales, marketing does a little bit of quality assurance, engineering contributes to the blog…and everyone takes pride in helping out with customer service. For many months, we had one person managing questions we received through our little Intercom chat window (you know,… Read more

General, pre-trained machine learning solutions are now easier to come by — sentiment analysis, topic classification, entity extraction, etc. Unfortunately, these solutions typically don’t work so well with industry or company-specific tasks, because the data that matters for your business is probably different from the data used to train the model. For instance, financial articles… Read more

In Part 2 of this series, we discussed how e-commerce fashion sites typically make clothing recommendations based on image similarity (here’s a great tutorial on how to do that, by the way). But what if you could also recommend products based on how well they matched with a past purchase? We built a fashion matching… Read more

Online clothing stores typically recommend products by looking at their customers’ past purchases or searches, and then suggest items that look similar to those products. Perhaps that’s a good strategy when you’ve only been searching for, say, a striped shirt and haven’t bought one yet. But what if you’ve just bought a striped shirt —… Read more

Transfer learning is one of the most powerful capabilities in the deep learning toolkit because you only need “small data” as opposed to “Big Data”. It’s a technique that allows us to take a deep neural network trained to solve one task (like recognizing objects and logos in an image), and efficiently tweak it to perform another task,… Read more

We’ve had many requests from the indico community to add multilingual support for our APIs, so we’ve spent the past few months working on just that. We’re thrilled that we’ve got such a large international following, and we’re always striving to improve our tools to suit your needs. So here’s the big news: our Sentiment… Read more

“Cutting edge.” It’s usually one of those overused phrases scattered all over company websites to add some marketing pizazz. Everything you see here is on the cutting edge. Yet, it’s perfect for describing Sentiment HQ, one of our newest machine learning models. If you’re not too sure what “sentiment analysis” is, it basically involves using… Read more

UPDATE: “Pulse” is now Inpulsify! If you have Google Chrome, you can add the extension now. Last month, members of the indicrew travelled up to Waterloo, Canada for Hack the North 2015, where 1,000 students divided into teams had 36 hours to build awesome software or hardware projects. Diana, Chris, and Annie, (all sporting prominent… Read more

Predictive analytics. Data science. Machine learning. It seems like lots of people are excited about these words, considering how they keep getting hashtagged all over the place. But let’s be honest — how many of us actually understand what they mean or how they relate to one another? We’ve compiled a list of jargon related… Read more